(self, network)
| 93 | self.iteration += 1 |
| 94 | |
| 95 | def setup(self, network): |
| 96 | self.velocity = defaultdict(dict) |
| 97 | for i, layer in enumerate(network.parametric_layers): |
| 98 | for n in layer.parameters.keys(): |
| 99 | self.velocity[i][n] = np.zeros_like(layer.parameters[n]) |
| 100 | |
| 101 | |
| 102 | class Adagrad(Optimizer): |